N #2452
Applications open
Full-Time Job
Senior Software Developer- Java, Ruby, Kotlin, Kafka and Mobile
Biz Hr It Solutions
About the role
Senior Software Developer Java, Ruby, Kotlin, Kafka & Mobile Experience: 8-12 Years Location: Hyderabad Employment Type: Full-time Open Positions: 2 Job Description We are looking for an experienced Senior Software Developer with strong hands-on expertise in Java, Ruby, Kotlin, Kafka, and mobile application development. The ideal candidate should have experience developing scalable backend services, building mobile applications, integrating distributed systems, and delivering reliable, high-performance software solutions. The candidate will contribute to backend engineering, mobile application development, system integration, architecture discussions, and production support. Key Responsibilities Design, develop, test, and maintain scalable backend services using Java and Ruby. Develop and maintain mobile applications using Android technologies, including Kotlin, and/or other relevant mobile frameworks. Implement and maintain REST APIs and integrations between mobile applications and backend systems. Work with Apache Kafka for event-driven communication, messaging, and distributed application workflows. Contribute to application architecture, system design, code reviews, and engineering best practices. Troubleshoot production issues, identify root causes, and optimize application performance. Collaborate with cross-functional teams, including product, QA, and DevOps. Participate in the complete software development lifecycle, including development, testing, deployment, and maintenance. Support application scalability, reliability, security, and performance improvements. Mandatory Skills: 812 years of relevant software development experience. Strong hands-on experience with Java. Professional experience with Ruby or Ruby on Rails. Hands-on experience with Kotlin and/or relevant mobile development technologies. Professional mobile application development experience is mandatory. Experience with Apache Kafka and event-driven or messaging-based systems. Experience developing REST APIs and backend services. Good understanding of databases, distributed systems, and software architecture. Strong debugging, problem-solving, and production troubleshooting skills. Preferred Skills Experience with native Android and/or iOS development. Exposure to React Native or other cross-platform mobile frameworks. Experience with AWS or other cloud platforms. Knowledge of Docker, Kubernetes, and CI/CD pipelines. Experience with Elixir. Experience developing high-scale, distributed, or data-intensive applications. Candidate Profile Strong programming fundamentals and practical software development experience. Ability to work across backend and mobile application components. Experience delivering production-ready applications and supporting live systems. Good communication, collaboration, and problem-solving skills. Ability to work independently and contribute to technical decisions. Work Location: Hyderabad Employment Type: Full-time Experience: 8โ12 Years
Eligibility & process
Who can apply
Experience: 8-13 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
19 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Biz Hr It Solutions and tech roles.
Technical Placement Cheat Sheets & Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Biz Hr It Solutions Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Biz Hr It Solutions and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Mobile Application Development, Ruby Rails, Rail, Mobile Applications, Java, Ruby, Kotlin, React) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Biz Hr It Solutions Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join Biz Hr It Solutions as a Senior Software Developer- Java, Ruby, Kotlin, Kafka and Mobile?
Highlight Biz Hr It Solutions's market reputation, recent tech innovations, and how your skills in Mobile Application Development directly solve their team's objectives.
Highlight Biz Hr It Solutions's market reputation, recent tech innovations, and how your skills in Mobile Application Development directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
15-30 Lacs PA
Full-Time Job
Hyderabad, India
Nov 06, 2026
